20 engineering-engineering-"https:" "https:" "https:" "https:" "https:" PhD positions at Lulea University of Technology
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PhD Position in Engineering Materials Project: Structured Sorbents and Additive Manufacturing for Gas Cleaning Applications Lulea Reference number 3887-2026 Luleå University of Technology experiences
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents Lulea Reference number 3877-2026 Luleå University of Technology experiences rapid growth with
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supervision, and room to grow, both as a researcher and as a person. The Department of Engineering Sciences and Mathematics carries out research in areas such as wood, composites, metals, mechanics, and
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PhD in Electrical Power Engineering Skelleftea Reference number 4219-2026 Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our
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analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description Control Engineering and Instrumentation are growing in
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PhD Student in Mining and Rock Engineering with special focus on underground hydrogen storage Lulea Reference number 4286-2026 Are you ready to take the next step in your academic journey? As a
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of Computer Science, Electrical and Space Engineering at Luleå University of Technology is now looking for a Postdoc contributing to our growing activities. The RAI team is conducting fundamental
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PhD student in energy engineering – Model-based analyses of biobased fuels and gas turbines in a sustainable Swedish energy system Lulea Reference number 3982-2026 Are you ready to take the next step
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PhD Student in Urban Water Engineering Lulea Reference number 3603-2026 Optimized and sustainable rehabilitation planning of urban water pipe and street networks Are you ready to take the next step
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PhD Student in Urban Water Engineering Lulea Reference number 3514-2026 Data-driven understanding & predictive modelling of sediment accumulation in urban drainage infrastructures Are you ready to